Update model.py

model.py

@@ -10,7 +10,7 @@ class UNet(nn.Module):
 
     def __init__(self,
                  encoder_name='tu-regnetz_d8', 
-                 encoder_weights='imagenet',  # Pre-trained weights from ImageNet
+                 encoder_weights=None, 
                  in_channels=13,              # Number of input channels (13 for Sentinel-2 multi-spectral images)
                  num_classes=4,               # Number of output classes (e.g., clear, thick cloud, thin cloud, cloud shadow)
                  freeze_encoder=False):       # Whether to freeze the encoder's weights